David Robben
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Medical Image Segmentation Techniques
- Generative Adversarial Networks and Image Synthesis
Papers in
-
- Medical Image Segmentation Techniques 23
- Epidemiology 10
- Acute Ischemic Stroke Management 10
- Co-authors
- Paul Suetens (14 shared papers)Frederik Maes (13 shared papers)Wouter Crijns (4 shared papers)Sandra Nuyts (3 shared papers)Siri Willems (3 shared papers)Julie van der Veen (3 shared papers)Stefan G. Sunaert (6 shared papers)Dirk Vandermeulen (6 shared papers)
- Journals
- Medical Image Analysis (5 papers)PLoS ONE (2 papers)Stroke (2 papers)Lecture notes in computer science (11 papers)Nature Communications (1 paper)
- Partner nations
- BelgiumGermanySwitzerland
In The Last Decade
David Robben
34 papers receiving 1.2k citations
David Robben's Hit Papers
Peers
Comparison fields: 5 of 57
- Health Informatics 83
- Computer Vision and Pattern Recognition 692
- Neurology 97
- Radiation 73
- Epidemiology 272
Countries citing papers authored by David Robben
This map shows the geographic impact of David Robben's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Robben with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Robben more than expected).
Fields of papers citing papers by David Robben
This network shows the impact of papers produced by David Robben. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Robben. The network helps show where David Robben may publish in the future.
Co-authors
The 25 scholars most cited alongside David Robben, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI Hit paper breakdown → | 2016 | 425 |
| 2 | 2018 | 132 | |
| 3 | 2019 | 91 | |
| 4 | 2019 | 69 | |
| 5 | 2021 | 64 | |
| 6 | 2016 | 53 | |
| 7 | 2020 | 48 | |
| 8 | 2020 | 41 | |
| 9 | 2021 | 30 | |
| 10 | 2014 | 20 | |
| 11 | 2018 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 15 | |
| 15 | 2019 | 13 | |
| 16 | 2014 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2016 | 10 |
About David Robben
David Robben is a scholar working on Computer Vision and Pattern Recognition, Epidemiology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (23 papers), Acute Ischemic Stroke Management (10 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Advanced MRI Techniques and Applications (3 papers), Medical Imaging and Analysis (2 papers), Epilepsy research and treatment (1 paper), EEG and Brain-Computer Interfaces (1 paper) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Health Informatics (83 citations), Computer Vision and Pattern Recognition (692 citations), Neurology (97 citations), Radiation (73 citations) and Epidemiology (272 citations). David Robben has collaborated with scholars based in Belgium, Germany and Switzerland. Frequent co-authors include Paul Suetens, Frederik Maes, Wouter Crijns, Sandra Nuyts, Siri Willems, Julie van der Veen, Stefan G. Sunaert, Dirk Vandermeulen, Jeroen Bertels and Vincent Thijs. Their work appears in journals such as Medical Image Analysis, PLoS ONE, Stroke, Lecture notes in computer science and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.